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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #275

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #275: Real Exam Question with Answer & Explanation

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Submitted by yaw92· Apr 18, 2026ML model development

Question

You work for a retail company. You have been tasked with building a model to determine the probability of churn for each customer. You need the predictions to be interpretable so the results can be used to develop marketing campaigns that target at-risk customers. What should you do?

Options

  • ABuild a random forest regression model in a Vertex AI Workbench notebook instance. Configure
  • BBuild an AutoML tabular regression model. Configure the model to generate explanations when it
  • CBuild a custom TensorFlow neural network by using Vertex AI custom training. Configure the
  • DBuild a random forest classification model in a Vertex AI Workbench notebook instance.

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Topics

#Churn prediction#Classification modeling#Model interpretability#Random Forest
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